Academic staff
Researcher interests: Probabilistic Graphical Models. Fundamental representations and methods for inference and learning in large scale domains, with an emphasis on high-level elements such as structure learning, the discovery of hidden variables and classes, transfer of knowledge between related classes/tasks. I have recently taken a particular interest to nonlinear high-dimensional representation of continuous or hybrid distributions. Real-life Applications. Applying fundamental techniques to challenging domains such as computational biology and machine vision. Recently, my I have started focusing on the development of principled techniques based on probabilistic knowledge for diagnosis in the field of medical informatics.
FACULTY / SCHOOL: Faculty of Social Sciences
DEPARTMENT: Statistics
Contact Business Development: Anna Pellivert

Selected Publications

Gal Elidan, nofar noy, Ami Wiesel, yoav wald
globally optimal learning for structured elliptical losses (2019)| NeurIPS 2019 : Thirty-third Conference on Neural Information Processing Systems| Read more
Amir Globerson, Amit Daniely, deborah cohen, Gal Elidan
learning rules first classifiers (2019)| arXiv: Learning| Read more
Amir Globerson, Amit Daniely, deborah cohen, Gal Elidan
learning rules first classifiers (2019)| The 22nd International Conference on Artificial Intelligence and Statistics| Read more
Avinatan Hassidim, Gal Elidan, sella nevo, Ami Wiesel, yossi matias, yotam gigi
spectral algorithm for low rank multitask regression (2019)| arXiv preprint arXiv:1910.12204| Read more
Gal Elidan, uri okun, Ami Wiesel, Yonatan Woodbridge
unmixing k gaussians with application to hyperspectral imaging (2019)| IEEE Transactions on Geoscience and Remote Sensing| Read more
Amir Globerson, Amit Daniely, deborah cohen, Gal Elidan
learning with rules (2018)| arXiv preprint arXiv:1803.03155| Read more
ajai tirumali, Avinatan Hassidim, Gal Elidan, guy shalev, mor schlesinger, oleg zlydenko, pete giencke, ran elyaniv, sella nevo, vova anisimov, Ami Wiesel, yossi matias, yotam gigi, zach moshe
ml for flood forecasting at scale (2018)| arXiv preprint arXiv:1901.09583| Read more
Avinatan Hassidim, Gal Elidan, guy shalev, sella nevo, Ami Wiesel, yossi matias, yotam gigi, zach moshe
towards global remote discharge estimation using the few to estimate the many (2018)| arXiv preprint arXiv:1901.00786| Read more
craig boutilier, dale schuurmans, Gal Elidan, martin mladenov, Ofer Meshi, tyler lu
logistic markov decision processes (2017)| Twenty-Sixth International Joint Conference on Artificial Intelligence| Read more
Gal Elidan, Ami Wiesel, Yonatan Woodbridge
signal detection in complex structured para normal noise (2017)| IEEE Transactions on Signal Processing| Read more

Contact for more information:

Anna Pellivert
VP, BUSINESS DEVELOPMENT
+972-2-6586697
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